Learning Self-distilled Features for Facial Deepfake Detection Using Visual Foundation Models: General Results and Demographic Analysis
Modern deepfake techniques produce highly realistic false media content with the potential for spreading harmful information, including fake news and incitements to violence. Deepfake detection methods aim to identify and counteract such content by employing machine learning algorithms, focusing ma...
| Автори: | , , , , , , |
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| Формат: | Стаття |
| Мова: | English |
| Опубліковано: |
Brazilian Computer Society
2024-07-01
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| Серія: | Journal on Interactive Systems |
| Предмети: | |
| Онлайн доступ: | https://journals-sol.sbc.org.br/index.php/jis/article/view/4120 |